| Exploiting data topology in visualization and clustering of self-organizing maps K Tasdemir, E Merényi IEEE Transactions on Neural Networks 20 (4), 549-562, 2009 | 221 | 2009 |
| Automatic detection and segmentation of orchards using very high resolution imagery S Aksoy, IZ Yalniz, K Tasdemir IEEE Transactions on geoscience and remote sensing 50 (8), 3117-3131, 2012 | 107 | 2012 |
| Vector quantization based approximate spectral clustering of large datasets K Taşdemir Pattern Recognition 45 (8), 3034-3044, 2012 | 92 | 2012 |
| A validity index for prototype-based clustering of datasets with complex structures K Taşdemir, E Merényi IEEE Transactions on Systems, Man, and Cybernetics B 41 (4), 1039-1053, 2011 | 89 | 2011 |
| Topology-based hierarchical clustering of self-organizing maps K Tasdemir, P Milenov, B Tapsall IEEE transactions on neural networks 22 (3), 474-485, 2011 | 88 | 2011 |
| Identification of hazelnut fields using spectral and Gabor textural features S Reis, K Taşdemir ISPRS Journal of Photogrammetry and Remote Sensing 66 (5), 652-661, 2011 | 78 | 2011 |
| Approximate spectral clustering with utilized similarity information using geodesic based hybrid distance measures K Taşdemir, B Yalçin, I Yildirim Pattern Recognition 48 (4), 1465-1477, 2015 | 58 | 2015 |
| Learning highly structured manifolds: harnessing the power of SOMs E Merényi, K Tasdemir, L Zhang Similarity-Based Clustering: Recent Developments and Biomedical Applications …, 2009 | 52 | 2009 |
| Analysis of RapidEye imagery for annual landcover mapping as an aid to European Union (EU) common agricultural policy B Tapsall, P Milenov, K Tasdemir na 38, 568-573, 2010 | 48 | 2010 |
| Knowledge discovery in urban environments from fused multi-dimensional imagery E Merenyi, B Csathó, K Tasdemir 2007 Urban Remote Sensing Joint Event, 1-13, 2007 | 38 | 2007 |
| A hybrid method combining SOM-based clustering and object-based analysis for identifying land in good agricultural condition K Taşdemir, P Milenov, B Tapsall Computers and electronics in agriculture 83, 92-101, 2012 | 31 | 2012 |
| Graph based representations of density distribution and distances for self-organizing maps K Tasdemir IEEE Transactions on Neural Networks 21 (3), 520-526, 2010 | 28 | 2010 |
| Data topology visualization for the Self-Organizing Map. K Tasdemir, E Merényi ESANN, 277-282, 2006 | 27 | 2006 |
| A hyperspectral imaging based control system for quality assessment of dried figs G Ortaç, AS Bilgi, K Taşdemir, H Kalkan Computers and Electronics in Agriculture 130, 38-47, 2016 | 26 | 2016 |
| A new cluster validity index for prototype based clustering algorithms based on inter-and intra-cluster density K Tasdemir, E Merenyi Proc. Int’l Joint Conf. on Neural Networks (IJCNN 2007), 12-17, 2007 | 24 | 2007 |
| An approximate spectral clustering ensemble for high spatial resolution remote-sensing images K Taşdemir, Y Moazzen, I Yildirim IEEE Journal of Selected Topics in Applied Earth Observations and Remote …, 2015 | 21 | 2015 |
| Geodesic based similarities for approximate spectral clustering K Tasdemir, Y Moazzen, I Yildirim 2014 22nd International Conference on Pattern Recognition, 1360-1364, 2014 | 16 | 2014 |
| A hybrid similarity measure for approximate spectral clustering of remote sensing images K Taşdemir 2013 IEEE International Geoscience and Remote Sensing Symposium-IGARSS, 3136 …, 2013 | 15 | 2013 |
| SOM-based topology visualisation for interactive analysis of high-dimensional large datasets K Tasdemir, E Merényi Machine Learning Reports 1, 13-15, 2012 | 15 | 2012 |
| Considering topology in the clustering of self-organizing maps K Taşdemir, E Merényi WSOM 2005-5th Workshop on Self-Organizing Maps, 439-446, 2005 | 15 | 2005 |
